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SRC-a12bf7e6b688 Kitaichi N 2026

Evidence source and scope

Kitaichi N, Delizo K, Dei R, et al. A machine learning-based fall risk prediction model for Parkinson’s disease considering ophthalmic disorders. Parkinsonism and Related Disorders. 2026;147:108306. Original article

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DOI: 10.1016/j.parkreldis.2026.108306

Bibliographic record from the original reports

Access labels embedded in these original reference strings are historical. Current access and exact checked components are stated separately below.

Kitaichi N, Delizo K, Dei R, et al. A machine learning-based fall risk prediction model for Parkinson’s disease considering ophthalmic disorders. Parkinsonism and Related Disorders. 2026;147:108306. Original article

Conditions: COND-PD Parkinson’s disease

Scoped audit evidence

These are source- and component-level audit summaries as of 3 October 2026. Access and comparison scope can differ by report; none certifies every result or the underlying raw data.

Parkinson’s disease — transfer

543 PD, 93 fallers; 434 learning/109 test, CATDAP screening then random forest with SMOTE-ENC, fivefold ten-repeat tuning; 101 random splits claimed. Chair item NP3RISNG has AIC −3.18, third association rank. Five-variable model MCC .456, accuracy 82.6%, PPV 50%, NPV 91.8%, sensitivity 63.2%, specificity 86.7%; nonfaller prevalence 450/543=82.87%.

Limitations: Only the enumerated transfer-relevant components were adjudicated. Source availability does not imply every statement, supplement, figure or raw datum was checked.

Reports citing this source

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